Literature DB >> 2787279

EMG pattern analysis for patient-responsive control of FES in paraplegics for walker-supported walking.

D Graupe.   

Abstract

This paper describes and discusses the employment of EMG pattern analysis to provide upper-motor-neuron paraplegics with patient-responsive control of FES (functional electrical stimulation) for the purpose of walker-supported walking. The system described employs above-lesion surface EMG signals to activate standing and walking functions in a patient-responsive manner. This system has been experimentally applied to paraplegics at Michael Reese Hospital and Medical Center in Chicago since early 1982. Below-lesion response-EMG control from the stimulated sites has been added in 1987 to regulate stimuli levels in the face of fatigue. Although transcutaneous FES alone is being employed, the system is applicable in principle also to implantable FES systems.

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Year:  1989        PMID: 2787279     DOI: 10.1109/10.32103

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  The adaptive ARMA analysis of EMG signals.

Authors:  Necaattin Barişçi
Journal:  J Med Syst       Date:  2008-02       Impact factor: 4.460

Review 2.  Restoring standing capabilities with feedback control of functional neuromuscular stimulation following spinal cord injury.

Authors:  Raviraj Nataraj; Musa L Audu; Ronald J Triolo
Journal:  Med Eng Phys       Date:  2017-02-15       Impact factor: 2.242

3.  Stimulus artefact suppressor for EMG recording during FES by a constant-current stimulator.

Authors:  J Minzly; J Mizrahi; N Hakim; A Liberson
Journal:  Med Biol Eng Comput       Date:  1993-01       Impact factor: 2.602

4.  Cycle-to-cycle control of swing phase of paraplegic gait induced by surface electrical stimulation.

Authors:  H M Franken; P H Veltink; G Baardman; R A Redmeyer; H B Boom
Journal:  Med Biol Eng Comput       Date:  1995-05       Impact factor: 2.602

5.  Command control for functional electrical stimulation hand grasp systems using miniature accelerometers and gyroscopes.

Authors:  K Y Tong; A F T Mak; W Y Ip
Journal:  Med Biol Eng Comput       Date:  2003-11       Impact factor: 2.602

6.  On the identification of sensory information from mixed nerves by using single-channel cuff electrodes.

Authors:  Stanisa Raspopovic; Jacopo Carpaneto; Esther Udina; Xavier Navarro; Silvestro Micera
Journal:  J Neuroeng Rehabil       Date:  2010-04-27       Impact factor: 4.262

7.  Corticomuscular coherence analysis on hand movement distinction for active rehabilitation.

Authors:  Xinxin Lou; Siyuan Xiao; Yu Qi; Xiaoling Hu; Yiwen Wang; Xiaoxiang Zheng
Journal:  Comput Math Methods Med       Date:  2013-04-16       Impact factor: 2.238

  7 in total

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